Dynamic Evolution Game of Travelers’ Air-to-HSR Choice under the Scenario of HSR Speed-Up

With the technological advancement, China’s high-speed rail (HSR) has achieved a higher running speed than ever before, which at the same time leads to the intensive competition between air and high-speed rail with trips within 500–1000 km, as well as to the significant changes of travelers’ air-to-...

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Main Authors: Zhenhua Mou, Kangli Yan, Kepeng Li, Dongfu Shen, Xiang Li, Hanbing Wang, Jijie Guo, Yanyan Chen
Format: Article
Language:English
Published: Hindawi Limited 2021-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2021/9650907
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spelling doaj-ec88d87389fa42b9a37ad51fdfbd812c2021-02-15T12:53:09ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472021-01-01202110.1155/2021/96509079650907Dynamic Evolution Game of Travelers’ Air-to-HSR Choice under the Scenario of HSR Speed-UpZhenhua Mou0Kangli Yan1Kepeng Li2Dongfu Shen3Xiang Li4Hanbing Wang5Jijie Guo6Yanyan Chen7School of Transportation Engineering, Shandong Jianzhu University, Jinan 250101, ChinaSchool of Transportation Engineering, Shandong Jianzhu University, Jinan 250101, ChinaSchool of Transportation Engineering, Shandong Jianzhu University, Jinan 250101, ChinaSchool of Transportation Engineering, Shandong Jianzhu University, Jinan 250101, ChinaSchool of Transportation Engineering, Shandong Jianzhu University, Jinan 250101, ChinaSchool of Transportation Engineering, Shandong Jianzhu University, Jinan 250101, ChinaJinan Rail Transit Group Co., Ltd., Jinan 250101, ChinaBeijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing 100124, ChinaWith the technological advancement, China’s high-speed rail (HSR) has achieved a higher running speed than ever before, which at the same time leads to the intensive competition between air and high-speed rail with trips within 500–1000 km, as well as to the significant changes of travelers’ air-to-HSR choice. In order to explore the dynamic adaptation of travelers’ choice of high-speed rail (HSR) and air in the case of HSR speed-up, a logit dynamics model of travelers’ choice based on evolutionary game was constructed to describe the evolution of travelers’ choice. With HSR-air travel time and the ticket price of origin-destination (OD) points of Beijing-Shanghai as the benchmark, the study set up two scenarios of HSR speed-up and compared and analyzed their payoffs in value. On the basis of mathematical simulation, the travelers’ “air-to-HSR choice” and the change of competition range under the background of HSR speed-up were both discussed. The result indicated that the HSR speed-up would attract more travelers, and its share rate would rise to 58.31% and 72.73%, respectively, with HSR running speed increasing to 400 and 600 km/h; the marginal utility of HSR speed-up is more obvious, and in the meantime, the increase of HSR running speed extends the intense HSR-air competition range to longer-distance travels. In the case of HSR speed-up, travelers’ choice changes as well. The HSR operators themselves should formulate reasonable ticket prices and improve their management. At the same time, the air operators should adjust their operation plan in time.http://dx.doi.org/10.1155/2021/9650907
collection DOAJ
language English
format Article
sources DOAJ
author Zhenhua Mou
Kangli Yan
Kepeng Li
Dongfu Shen
Xiang Li
Hanbing Wang
Jijie Guo
Yanyan Chen
spellingShingle Zhenhua Mou
Kangli Yan
Kepeng Li
Dongfu Shen
Xiang Li
Hanbing Wang
Jijie Guo
Yanyan Chen
Dynamic Evolution Game of Travelers’ Air-to-HSR Choice under the Scenario of HSR Speed-Up
Mathematical Problems in Engineering
author_facet Zhenhua Mou
Kangli Yan
Kepeng Li
Dongfu Shen
Xiang Li
Hanbing Wang
Jijie Guo
Yanyan Chen
author_sort Zhenhua Mou
title Dynamic Evolution Game of Travelers’ Air-to-HSR Choice under the Scenario of HSR Speed-Up
title_short Dynamic Evolution Game of Travelers’ Air-to-HSR Choice under the Scenario of HSR Speed-Up
title_full Dynamic Evolution Game of Travelers’ Air-to-HSR Choice under the Scenario of HSR Speed-Up
title_fullStr Dynamic Evolution Game of Travelers’ Air-to-HSR Choice under the Scenario of HSR Speed-Up
title_full_unstemmed Dynamic Evolution Game of Travelers’ Air-to-HSR Choice under the Scenario of HSR Speed-Up
title_sort dynamic evolution game of travelers’ air-to-hsr choice under the scenario of hsr speed-up
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2021-01-01
description With the technological advancement, China’s high-speed rail (HSR) has achieved a higher running speed than ever before, which at the same time leads to the intensive competition between air and high-speed rail with trips within 500–1000 km, as well as to the significant changes of travelers’ air-to-HSR choice. In order to explore the dynamic adaptation of travelers’ choice of high-speed rail (HSR) and air in the case of HSR speed-up, a logit dynamics model of travelers’ choice based on evolutionary game was constructed to describe the evolution of travelers’ choice. With HSR-air travel time and the ticket price of origin-destination (OD) points of Beijing-Shanghai as the benchmark, the study set up two scenarios of HSR speed-up and compared and analyzed their payoffs in value. On the basis of mathematical simulation, the travelers’ “air-to-HSR choice” and the change of competition range under the background of HSR speed-up were both discussed. The result indicated that the HSR speed-up would attract more travelers, and its share rate would rise to 58.31% and 72.73%, respectively, with HSR running speed increasing to 400 and 600 km/h; the marginal utility of HSR speed-up is more obvious, and in the meantime, the increase of HSR running speed extends the intense HSR-air competition range to longer-distance travels. In the case of HSR speed-up, travelers’ choice changes as well. The HSR operators themselves should formulate reasonable ticket prices and improve their management. At the same time, the air operators should adjust their operation plan in time.
url http://dx.doi.org/10.1155/2021/9650907
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